
Data Engineer Transformation Specialist
2 weeks ago
Role Overview:
We are seeking a highly skilled Data Architect to lead the design and implementation of our data pipeline architecture. The ideal candidate will have expertise in creating scalable and efficient data systems, with experience in SQL and AWS 'big data' technologies.
Key Responsibilities:
- Create and maintain events/streaming based architecture/design
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
- Work with data scientists to strive for greater functionality in our data systems.
Requirements:
- Proficiency in either Scala or Python, expertise in Spark, and experience with performance tuning and optimization. DBT is also Mandatory.
- Experience with big data tools: HDFS/S3, Spark/Flink,Hive,Hbase, Kafka/Kinesis, etc.
- Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS/GCP cloud services
- Experience with stream-processing systems: Spark-Streaming/Flink etc.
- Experience with object-oriented/object function scripting languages: Java, Scala, etc.
Desirable Qualifications:
- A portfolio showcasing data-driven projects
- Contributions to open-source data science projects
- Experience working on large-scale data systems
- Knowledge of backend programming languages
Why This Role Matters:
This role plays a critical part in shaping our organization's data strategy, enabling informed decision-making, and driving business growth. As a Data Architect, you will have the opportunity to work on complex projects, collaborate with cross-functional teams, and develop cutting-edge solutions.
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